Joao Lucas de Sousa Almeida

Publications

• Towards operational methane emission detection from oil and gas facilities through multi-modal sensing and advanced dispersion and atmospheric modeling

  • • Arash Fathi
    • Joao Lucas de Sousa Almeida
    • et al.
  • 2023
  • AGU Fall 2023

• Reduced-order modeling of the two-dimensional Rayleigh–Bénard convection flow through a non-intrusive operator inference

  • • Pedro Roberto Barbosa Rocha
    • João Lucas de Sousa Almeida
    • et al.
  • 2023
  • Eng Appl Artif Intell

• A coupled Variational Encoder-Decoder - DeepONet surrogate model for the Rayleigh-Bénard convection problem

  • • Joao Lucas de Sousa Almeida
    • Pedro Rocha
    • et al.
  • 2023
  • AAAI 2023

• Data-Driven Reduced-Order Model for Atmospheric CO2 Dispersion

  • • Pedro Rocha
    • Marcos Sebastião De Paula Gomes
    • et al.
  • 2022
  • AAAI-FS 2022

• Non-intrusive operator inference for chaotic systems

  • • Joao Lucas de Sousa Almeida
    • Arthur Cancelieri Pires
    • et al.
  • 2022
  • IEEE Transactions on Artificial Intelligence

• Reservoir computing in reduced order modeling for chaotic dynamical systems

  • • Alberto Costa Nogueira Junior
    • Felipe De Castro Teixeira Carvalho
    • et al.
  • 2021
  • ISC 2021

• Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation

  • • Alberto Costa Nogueira Junior
    • Joao Lucas de Sousa Almeida
    • et al.
  • 2020
  • ISC 2020

• Acoustic Wave Inversion Using Radial Basis Neural Networks

  • • Miguel Paredes Quinones
    • Alberto Costa Nogueira Junior
    • et al.
  • 2020
  • Joint SBGf-SEG Workshop on Machine Learning 2020

• Physics-based machine learning inversion of subsurface elastic properties

  • • A. Costa Nogueira Junior
    • J. L. De Sousa Almeida
    • et al.
  • 2019
  • EAGE 2019

• On the choice of shock capturing schemes for the solution of the LWR traffic flow equation using a high order modal discontinuous Galerkin discretization

  • • Alberto Costa Nogueira
    • J. L. De Sousa Almeida
    • et al.
  • 2016
  • ECCOMAS Congress 2016